Fault location in transmission line using self-organizing neural network

The paper presents the application of self-organizing neural network for the location of the fault in transmission line and estimation of the parameter of the faulty element. The location of fault is done on the basis of the measurement of some node voltages of the line and appropriate preprocessing to enhance the differences between different faults. The hybrid neural network is used to solve the problem. The self-organizing layer of this network is used as the classifier. The output postprocessing MLP structure realizes the association of the place of fault and its parameter with the measured set of node voltages. The results of computer experiments are given in the paper and discussed